Faculty Publications
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Publications by NITK Faculty
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Item Surrogate modeling based cognitive decision engine for optimization of WLAN performance(Springer New York LLC barbara.b.bertram@gsk.com, 2017) Plets, D.; Chemmangat, K.; Deschrijver, D.; Mehari, M.; Ulaganathan, S.; Pakparvar, M.; Dhaene, T.; Hoebeke, J.; Moerman, I.; Tanghe, E.Due to the rapid growth of wireless networks and the dearth of the electromagnetic spectrum, more interference is imposed to the wireless terminals which constrains their performance. In order to mitigate such performance degradation, this paper proposes a novel experimentally verified surrogate model based cognitive decision engine which aims at performance optimization of IEEE 802.11 links. The surrogate model takes the current state and configuration of the network as input and makes a prediction of the QoS parameter that would assist the decision engine to steer the network towards the optimal configuration. The decision engine was applied in two realistic interference scenarios where in both cases, utilization of the cognitive decision engine significantly outperformed the case where the decision engine was not deployed. © 2016, Springer Science+Business Media New York.Item An Iterative-Based Optimum Power and Resource Allocation in Application-Dependent Scenarios for One-to-One D2D Communication(Institute of Electrical and Electronics Engineers Inc., 2024) Raghu, T.V.; Manjappa, M.Efficient and timely sharing of critical information is crucial for Public Safety (PS) communications, which can be fulfilled using one of the cutting-edge technologies, Device-to-device (D2D) communication. During an emergency, the PS applications should be prioritized over other applications, ensuring the emergency messages reach the first responders in time. Due to its inherent characteristics, the evolved Node Base station will not prioritize or categorize the D2D communication based on its application type, thus treating all applications equally. Further, D2D communication introduces significant interference to cellular users and vice-versa while sharing resources, and it is vital to reduce the impact of these interferences to ensure the Quality of Service for all users in the network. Hence, this article proposes a novel interference management approach to increase the overall sum rate of the system. In addition, the proposed approach also allows more D2D communication in general, particularly PS application-based D2D communication, to be active in the network. As the formulated problem is a Mixed-Integer Non-Linear Programming (MINLP) type of problem, it is split into two sub-problems, namely, Iterative Resource Allocation and Sharing and Iterative Power Optimization to achieve a polynomial time complexity. The theoretical proofs adequately explain the algorithm's time complexity and convergence property. The simulation results show that the proposed system enhances the overall sum rate by allowing more active PS D2D applications in the network. © 2013 IEEE.Item Priority-Driven Resource Allocation and Power Optimization in D2D Communication(Institute of Electrical and Electronics Engineers Inc., 2024) Raghu, T.V.; Manjappa, M.This research proposes priority-driven application-based channel assignment and power optimization frameworks called Channel State Information-based Resource Allocation (CSIRA) and Binary Search Power Control Mechanism (BSPCM) in D2D-enabled cellular communication. The CSIRA framework is cluster-based and uses a K-means clustering algorithm to group the D2D users into clusters. CSIRA allows the D2D users to share the cellular user's resources without compromising the cellular user's Quality of Service (QoS) in each cluster. Also, CSIRA ensures that public safety communication will get an edge over commercial communication during resource allocation. In order to ensure the QoS for cellular users is maintained while also enhancing the sum rate of D2D communication, the CSIRA employs the BSPCM framework. BSPCM framework utilizes a binary search algorithm to determine the optimal transmission power required for guaranteed D2D transmission within a cluster, thereby mitigating interference effects. A theoretical proof is provided to show that the suggested frameworks converge to a stable matching and end after a finite number of iterations. Simulation results demonstrate that the proposed frameworks effectively prioritizes public safety over commercial applications while preserving optimal system efficiency and quality with minimal complications. © 2017 IEEE.Item An Efficient Application based Many-to-Many Resource Allocation and Sharing with Power Optimization for D2D Communication - A Clustered Approach(Korean Institute of Communications and Information Sciences, 2024) Raghu, R.T.; Manjappa, K.This study aims to give an edge to public safety applications over commercial applications in an underlay cellular-assisted device-to-device (D2D) communication. The proposed framework introduces two frameworks: Cluster-based many-to-many resource allocation and resource sharing framework (CMMRARS) and constant time power control algorithm (CTPCA). The RB assigned to a CUE can share with multiple DUE pairs, and the DUE pairs can also use RB assigned to multiple CUEs under the many-to-many strategy. The CMMRARS framework is responsible for resource allocation and resource sharing and accordingly, it is further divided into three sub-problems. The CTPCA framework is divided into two sub-problems and used to find optimal power for cellular users and D2D transmitters to avoid cross-tier and co-tier interference. The K-means clustering algorithm is employed to form application-specific clusters, and it ensures that more cellular users fall into the public safety clusters so that the D2D users will get more resource-sharing options. Cellular users use a weighted bipartite graph to form a priority list of D2D users for resource sharing. The main objective of the proposed work is to enhance the system’s sum rate by simultaneously reusing the same resource by multiple D2D pairs and safeguarding the Quality of Services provided to all kinds of network users. A theoretical justification is presented to ensure that the proposed frameworks terminate after a certain number of runs and congregate to a consistent matching. Simulation results show that the proposed method influences the overall system’s sum rate and provides a preference for public safety applications over commercial applications. © 2024 KICS.